Director, Analytics Engineering & AI​

Overview

Lead Analytics Gateway’s AI Engineering, Data Engineering, and Business Intelligence/Data Visualization teams supporting Pfizer’s International Commercial Division. Oversee analytics solution delivery and ensure technical capabilities meet evolving business needs.

What you'll do

• Lead the approximately 20 colleagues in the AI Engineering, Data Engineering, and Business Intelligence/Data Visualization teams.
• Manage 4–6 direct reports and oversee hiring, colleague development, and resource allocation across the team.
• Own the design, build, deployment, and scaling of AI-enabled and agentic solutions for commercial use cases from proof of concept to production.
• Define reference architectures, technical standards, and reusable patterns across data, AI, and BI solutions, and provide technical sign-off on solution designs.
• Lead the development of agentic AI solutions using Snowflake Cortex Agents across structured and unstructured commercial data, with guardrails, access controls, and responsible AI practices.
• Establish and own MLOps/LLMOps practices, including model and agent versioning, CI/CD for AI, automated testing and evaluation, performance and cost monitoring, and lifecycle management.
• Design and deliver strategic analytics solutions end to end using diverse commercial data sources, established data engineering practices, and emerging AI techniques.
• Own the evolution of the team’s data foundation through data curation, database modeling, ETL pipeline development, governed data layers, data quality, and resolution of issues at the source.
• Deliver AI-enabled decision-support and reporting tools that provide actionable insight for commercial stakeholders from country teams to global leadership.
• Guide the transition from traditional BI and data engineering skillsets toward AI engineering, agentic AI, and modern data engineering, including infrastructure standardization, automation, CI/CD, training, and mentorship.
• Partner with Business Transformation & Technology, Data Science, and Insights & Strategy teams on data assets, engineering and AI practices, platform choices, and shared roadmaps.
• Represent the team to GCA and ICD leadership, providing visibility into delivery, capability growth, and risk, and translating technical outcomes into business narratives.
• Contribute to documentation, playbooks, and knowledge-sharing practices as a subject matter expert.
• Drive a positive, inclusive, and high-engagement culture focused on retention, innovation, team development, and knowledge sharing.

What you'll need

• 15-20 years of relevant experience in data analytics, data science, or business intelligence.
• 8+ years of people-management experience with demonstrated success leading managers.
• A proven track record of leading the design, development, and delivery of AI-enabled analytics and data engineering solutions that drive measurable business impact at scale.
• An advanced degree in Computer Science, Data Engineering, Management, Applied Econometrics, Actuarial Science, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or a related field.

Nice to have

• Breadth of technical leadership experience including engineering delivery, data architecture, ETL pipeline development such as dbt and Airflow, database modeling, BI/visualization tooling such as Tableau and Power BI, data quality/observability monitoring such as Grafana, agentic AI, and modern cloud data platforms such as Snowflake.
• Strong ability to influence stakeholders and develop high-performing teams by coaching direct-report workstream leads to deliver meaningful outcomes and sustained business impact.
• Hands-on experience architecting and delivering AI/agentic solutions on Snowflake Cortex, including Cortex Agents, Cortex Analyst, and Cortex Search, or similar platforms.
• Experience establishing MLOps/LLMOps practices including model and agent deployment, evaluation, monitoring, and governance.
• Proven experience as a solution architect for enterprise-scale data and AI platforms.

Details

• Location: Mumbai, India.
• Work location assignment: Hybrid.